
Research Article
Adaptive Sharing of IoT Resources Through SDN-Based Microsegmentation of Services Using Mininet
@INPROCEEDINGS{10.1007/978-3-031-57523-5_18, author={Angely Mart\^{\i}nez and Jos\^{e} D. Padr\^{o}n and Jorge Luis Zambrano-Martinez and Carlos T. Calafate}, title={Adaptive Sharing of IoT Resources Through SDN-Based Microsegmentation of Services Using Mininet}, proceedings={Simulation Tools and Techniques. 15th EAI International Conference, SIMUtools 2023, Seville, Spain, December 14-15, 2023, Proceedings}, proceedings_a={SIMUTOOLS}, year={2024}, month={4}, keywords={Software-Defined Networks IoT Microsegmentation Resource sharing Zero Trust security}, doi={10.1007/978-3-031-57523-5_18} }
- Angely Martínez
José D. Padrón
Jorge Luis Zambrano-Martinez
Carlos T. Calafate
Year: 2024
Adaptive Sharing of IoT Resources Through SDN-Based Microsegmentation of Services Using Mininet
SIMUTOOLS
Springer
DOI: 10.1007/978-3-031-57523-5_18
Abstract
As we gradually embrace Smart Cities and the many advantages they can potentially offer, several technical issues arise that should be properly addressed, including security, efficiency, and performance, among others. In this regard, the massive deployment of IoT devices to support the numerous potential applications can consume excessive resources if their use is not optimized; this includes the sharing of some IoT devices whose content has the potential to be shared by many potential applications. One such example are CCTV smart cameras, as their deployment is costly, has a significant impact on urban aesthetics, and also the traffic flow they generate is high. To address such issue, in this paper we propose a novel SDN framework that enables the seamless sharing of streamed CCTV camera contents among multiple users, while adequately accounting for security and privacy restrictions. In particular, we adopt the Zero Trust paradigm to have a fine granularity control of the data-sensitive contents streamed by CCTV cameras. Experiments performed in Mininet using the Ryu controller evidence the potential of our solutions, which is able to achieve the target goals in a resource efficient manner, while introducing a low network updating overhead.